my colab restart after showing memory error.
I am trying to train cnn model on google colab notebook but after fist epoch my notebook restart itself by showing the error of memory allocation issue.
I was running the same one day before and it was running fine.
Logs are attached here.
It sounds like you might be running out of memory in google Colab.
One way to get around this might be to use your own computer. The method for this with anaconda is:
open anaconda
type in to anaconda: pip install jupyter
Once it is downloaded, type: jupyter notebook
this then opens a webpage, in the webpage there is a dropdown (I think called new) which you should click on, then click on terminal
in the terminal, you should type in (all on one line): jupyter notebook --NotebookApp.allow_origin='https://colab.research.google.com' --port=8889 --NotebookApp.port_retries=0
There will then be 3 output links, copy the second one.
back in colab, click the dropdown in the top right next to connect, then click connect to local runtime
Then input the copied URL into the prompt, then connect.
Related
My problem is the following: I want to run a Jupyter notebook on my remote desktop and access it via my laptop elsewhere. I have accomplished this, but I can't use my GPU for tensorflow because the GPU-supported version is only installed in my custom, non-base environment. Even though all of my installed jupyter kernels are available, it seems things don't work right unless I run 'jupyter notebook' from within the correct activated conda environment (says "no GPU" even though I select as the kernel the one where tensorflow-gpu is installed).
Is there a simple way of running jupyter notebook from within that environment by a batch script? I also need it to run the notebook on a secondary drive.
I could of course just start up the server while at home and then access it using the token, but that's a little clumsy.
I've found a solution. On windows, in %AppData%\Roaming\Microsoft\Windows\Start Menu\Programs\Anaconda3, there are shortcuts for various Anaconda-related programs, including Jupyter notebook for each environment.
The shortcut for Jupyter notebook for my given env is
`E:\Software\Anaconda3\python.exe E:\Software\Anaconda3\cwp.py E:\Software\Anaconda3\envs\tf E:\Software\Anaconda3\envs\tf\python.exe E:\Software\Anaconda3\envs\tf\Scripts\jupyter-notebook-script.py "%USERPROFILE%".
I modified this to end in '"E:" --no-browser' instead of the userprofile bit and made that into a script. Now when I SSH into the computer and run this script, the notebook is within the correct environment and I have access to my GPU, all on the correct drive, E.
I use Colab pro, open a session in a browser and type commands in the terminal. I especially install new software. But when I close the browser, my colab setting are restarted and I have to reinstall all those software again. Is there any way I can keep the software that are installed through terminal?
As you noted, Colab automatically destroys VMs after detecting user inactivity.
Colab Pro+ has a feature called background execution, which is exactly what you asked for: VMs persist after you close your browser. Note that Colab Pro+ costs 5x more than Colab Pro (as of 2022-01-09).
Alternatively, if the process of setting up the environment does not take a long time, I would put all the installation commands in the first cell, using shell access (!apt install my-things) or bash magic (%%bash). Thus, installing the software is done with one cell execution.
I trying to use jovian platform and google colab to run jupyter notebook. When I am trying to upload the notebook to my jovian account, I see this error.
Colab commit failed: (HTTP 400) Unauthorized access to tahmid1989/01-pytorch-basics
I am giving correct API key when it is prompted.
I am using same google account for my google colab and jovian.
Still it is not working.
Here is what I am trying.
!pip install jovian --upgrade --quiet
import jovian
jovian.commit(project='01-pytorch-basics')
Are you opening Colab from Jovian? It would be better to open the notebook on Colab via Jovian.
enter image description here
I can only commit my notebook from Colab to Jovian when I open it via Jovian.
Alternatively, you can try to run the Jupyter locally or run on Binder, then will be able to commit to Jovian..
logout and login once from jovian.ai
restart kernel on Colab
run jovian.commit as usual
I understand why it’s happening, will fix. But for now logout/login should work for you.
I know that for jupyter notebooks and jupyter lab, there are available code formatter extensions such as nb_blackor blackcellmagic. However when I installed them, it doesn't seem to work on google colab.
Do you know if there are any native option in colab or an extension that formats code (pep8 compliant)?
I don't think there's an extension directly in Colab.
What you could do, though, is to download your notebook, run
pip install -U nbqa
nbqa black notebook.ipynb
and then reupload your (now formatted) notebook to Colab
disclaimer: I'm the author of nbQA
UPDATE: as of version 21.8b0, black runs directly on notebooks, no third-party tool required
I have tried everything, none of the JupyterLab/Notebook backend hack methods seem to work as of February 2022. However, until later here is a relatively simple workaround:
[Run only once, at startup]
Connect to your drive
from google.colab import drive
drive.mount("/content/drive")
Install black for jupyter
!pip install black[jupyter]
Restart kernel
[Then]
Place your .ipynb file somewhere on your drive
Anytime you want format your code run:
!black /content/drive/MyDrive/YOUR_PATH/YOUR_NOTEBOOK.ipynb
Don't save your notebook, hit F5 to refresh the page
Voila!
Now save!
I am working with tensorflow 2.0 beta, and while i managed to get my GPU working on anaconda through a few youtube tutorials I am unable to get my gpu running in google colab. I know google has the option to enable a gpu from one of their servers but My GTX 1070 is much faster, and i need to run off colab and not just Jupyter exclusively.
So I read the documentation like a good boy and the only thing i think i could have done wrong is my path settings I have screenshots bellow.
I followed several different youtube tutorials faithfully until the final one here gave me a way to install it to jupyter. Which is great, but I also need it to run on google colab as well.
I've been trying this since Friday and it's now tuesday and I'm losing my mind over this. Help me stackoverflow, you're my only hope.
https://imgur.com/a/8WibGWT
If you can get it running on your own Jupyter server then you can point colab to that local server.
Full instructions here: https://research.google.com/colaboratory/local-runtimes.html but edited highlights are:
install jupyter_http_over_ws:
pip install jupyter_http_over_ws
jupyter serverextension enable --py jupyter_http_over_ws
start your local server allowing colab domain:
jupyter notebook \
--NotebookApp.allow_origin='https://colab.research.google.com' \
--port=8888 \
--NotebookApp.port_retries=0
Click 'connect to local runtime' in colab